1,721,198 research outputs found
Extremely subwavelength metal oxide direct and complementary metamaterials
No full textDataset for figure in Gregory, Simon A., Wang, Yudong, de Groot, C.H. and Muskens, Otto L. (2015) Extreme Subwavelength Metal Oxide Direct and Complementary Metamaterials. ACS Photonics, 2 (5), 606-614. (doi:10.1021/acsphotonics.5b00089).
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Data for "Graphene oxide - upconversion nanoparticle based optical sensors for targeted detection of mRNA biomarkers present in Alzheimer’s disease and prostate cancer"
No full textRaw data and images for the article Vilela, Patrick, El-Sagheer, Afaf, Millar, Timothy M., Brown, Tom, Muskens, Otto and Kanaras, Antonios (2016) Graphene oxide-upconversion nanoparticle based optical sensors for targeted detection of mRNA biomarkers present in Alzheimer’s disease and prostate cancer. ACS Sensors (doi:10.1021/acssensors.6b00651)</span
Dataset for Embedded Metal Oxide Plasmonics using Local Plasma Oxidation of AZO for Planar Metasurfaces
No full textOptical spectra, ellipsometry results
The data corresponds to the figures in published work.
Kai Sun, Wei Xiao, Sheng Ye, Nikolaos Kalfagiannis, Kian Shen Kiang, C. H.(Kees) de Groot, Otto L. Muskens.
Embedded Metal Oxide Plasmonics Using Local Plasma Oxidation of AZO for Planar Metasurfaces
Advanced Materials
https://doi.org/10.1002/adma.202001534</span
Dataset in support of the journal article 'Flexible thin film optical solar reflectors with Ta2O5-based multimaterial coatings for space radiative cooling'
No full textDataset supporting the article published in APL Photonics
Dataset consists of a single excel file with spreadsheet for each subfigure/figure with following formats
Main manuscript
Figure 1:
Figure 1a: no associated data.
Figure 1b: no associated data.
Figure 1c: Sheet Figure 1c Wavelength (Row 1) vs imaginary refractive index(k) for SiN (Row 2), SiO2 (Row 3), Ta2O5 (Row 4), TiO2 (Row 5) and Al2O3 (Row 6).
Figure 2: no associated data.
Figure 3:
Figure 3a: no associated data.
Figure 3b_top: Sheet Figure 3b Wavelength (um) (Row 1) vs absorption for Al (Row 2), S (Row 3) and T (Row 4).
Figure 3b_bottom: Sheet Figure 3b Wavelength (um) (Row 1) vs absorption for S (Row 2) and T (Row 3).
Figure 3c: Sheet Figure 3c Wavelength(um) (Row 1) vs Absorption of each layer, layer1-19 from top to bottom, at Row 2-20, respectively.
Figure 4:
Figure 4a: no associated data.
Figure 4b: no associated data.
Figure 4c: Sheet Figure 4c Wavelength (um) (Row 1/3) vs absorption for S (Row 2) and T (Row 4).
Figure 5:
Figure 5a: Sheet Figure 5a Wavelength (um) (Row 1) vs absorption at different angles (20 dec to 70 dec)for S and T, at Row 2-7.
Figure 5b: Sheet Figure 5b Incidence angle (Rom 1), Epsilon_sim (Row 2), Epsilon 8-13um (Row 3), Alpha Sim (Row 4), Epsilon exp (Row 5) and Epislon exp 8-13um (Row 6).
Figure 5c: Sheet Figure 5c Wavelength (um) (Row 1) vs absorption at different angles (20 dec to 70 dec)for S and T, at Row 2-7.
Figure 5d: Sheet Figure 5d Incidence angle (Rom 1), Epsilon_sim (Row 2), Alpha_sim (Row 3), Epsilon exp (Row 4).
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Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
No full textDataset supports: Wiecha, P. R. & Muskens, O. L. "Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures". Nano Letters (2019)
Simulation data and analysis</span
Visible to near-infrared chip-integrated tunable optical modulators based on niobium plasmonic nano-antenna and nano-circuit metasurface arrays
No full textSupporting data for "Inverse design of unitary transmission matrices in silicon photonic coupled waveguide arrays using a neural adjoint model"
No full textThis dataset is in support of the paper to be published in ACS Photonics
The dataset contains the files
"3x3_CWG_random_spiked_data_network_predictions_and_resimulation.zip" Neural network generated pixel patterns and the asociated electric field predictions for 1000
random target transmission matrices. Also contained is the manually resimulated electric field for validation.
- "Thermal_flucuations.zip" Pixel pattern file predicted by the network to implement the H3 Hadamard transmission matrix. The resimualted electric field is recorded
for a range of temperatures ranging from 100K to 395K</span
Plasmonic nanoantennas as integrated coherent perfect absorbers on SOI waveguides for modulators and all-optical switches
No full textThe performance of plasmonic nanoantenna structures on top of SOI wire waveguides as coherent perfect absorbers for modulators and all-optical switches is explored. The absorption, scattering, reflection and transmission spectra of gold and aluminum nanoantenna-loaded waveguides were calculated by means of 3D finite-difference time-domain simulations for single waves propagating along the waveguide, as well as for standing wave scenarios composed from two counterpropagating waves. The investigated configurations showed losses of roughly 1% and extinction ratios greater than 25 dB for modulator and switching applications, as well as plasmon effects such as strong field enhancement and localization in the nanoantenna region. The proposed plasmonic coherent perfect absorbers can be utilized for ultracompact all-optical switches in coherent networks as well as modulators and can find applications in sensing or in increasing nonlinear effects
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